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Brief Introduction to Atmospheric Data Analysis
How we know what the weather was like
How we know what the weather was like
What variables are used?
In the model (the part that moves ahead in time to create a forecast), the variables (not including space and time) are:
- ζ=relative vorticity: this is a measure of how much the wind is spinning: how much vortex motion there is. A basic test for this is: put a merry-go-round in the wind field. If it starts to turn, there is vorticity in the wind.
- D=wind divergence: this is how much the wind is blowing apart or coming together.
- Φ=mass, temperature, pressure and gravity combine in this term: it shows whether the air is in (hydrostatic) equilibrium with the air around it. If it is not in equilibrium, it will result in atmospheric waves; if it is in equilibrium, the air will remain calm. This is how SSI avoids the initialization step.
- q=specific humidity: how much water vapor is in the air, in units of mass per volume
© 2010 Jeanie Talbot for Physics
645 at UAF
Design by JeremyD
Design by JeremyD